mirror of
https://github.com/facebookresearch/pytorch3d.git
synced 2025-08-02 03:42:50 +08:00
Summary: Recent additions need to be included. Reviewed By: nikhilaravi Differential Revision: D30223717 fbshipit-source-id: 4b29a4132ea6fb7c1a530aac5d1e36aa61c663bb
42 lines
1.1 KiB
JSON
42 lines
1.1 KiB
JSON
{
|
|
"3D operators": [
|
|
{
|
|
"id": "deform_source_mesh_to_target_mesh",
|
|
"title": "Fit Mesh"
|
|
},{
|
|
"id": "bundle_adjustment",
|
|
"title": "Bundle Adjustment"
|
|
}
|
|
],
|
|
"Rendering": [
|
|
{
|
|
"id": "render_textured_meshes",
|
|
"title": "Render Textured Meshes"
|
|
},{
|
|
"id": "render_densepose",
|
|
"title": "Render DensePose Meshes"
|
|
}, {
|
|
"id": "render_colored_points",
|
|
"title": "Render Colored Pointclouds"
|
|
},{
|
|
"id": "fit_textured_mesh",
|
|
"title": "Fit a Mesh with Texture via Rendering"
|
|
}, {
|
|
"id": "camera_position_optimization_with_differentiable_rendering",
|
|
"title": "Camera Position Optimization with Differentiable Rendering"
|
|
},{
|
|
"id": "fit_textured_volume",
|
|
"title": "Fit a volume via raymarching"
|
|
},{
|
|
"id": "fit_simple_neural_radiance_field",
|
|
"title": "Fit a simplified NeRF via raymarching"
|
|
}
|
|
],
|
|
"Dataloaders": [
|
|
{
|
|
"id": "dataloaders_ShapeNetCore_R2N2",
|
|
"title": "Data loaders for ShapeNetCore and R2N2"
|
|
}
|
|
]
|
|
}
|